AI Developer
Movado Group, Inc7 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and architect AI-enhanced solutions integrating SAP, cloud data sources, local files, APIs, databases, and back-end systems.
- Develop Generative AI automation tools, bots, and workflows using Amazon Bedrock, custom GPTs, Amazon Lex, and related services.
- Build Python, VBA, Excel, and frontend tools to automate business processes and workflows.
- Build, test, and deploy predictive and statistical models for forecasting, regression, simulation, and related use cases.
- Define coding standards and maintain Git repositories, reusable code modules, AI frameworks, and CI/CD pipelines.
- Monitor, troubleshoot, and optimize solution performance, availability, scalability, logging, and integrations across SAP and non-SAP environments.
- Modernize Order-to-Cash and Procure-to-Pay processes using AI and cloud services.
- Ensure secure, efficient, and bi-directional data integration among SAP, SAC, BW, AWS, and third-party applications.
- Document architecture, design decisions, and processes, stay current with AI and cloud technologies, and mentor junior Python developers.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- Master’s degree in Artificial Intelligence or Machine Learning is preferred.
- At least 3 years of hands-on Python and VBA development experience.
- At least 1 year of experience using Generative AI tools for coding and workflow automation.
- At least 1 year of experience with AWS, GCP, or Azure, including Lambda functions, APIs, or microservices.
- Experience developing and integrating business applications with data read/write and process automation capabilities.
- Strong background in machine learning, data analytics, forecasting, regression, and simulation.
- Experience with SQL, Pandas, NumPy, scikit-learn, and cloud databases.
- Knowledge of chatbot development and AI-based API interaction, including Amazon Lex, Amazon Bedrock, and OpenAI APIs.
- Experience with GitHub or GitLab, DevOps tools, and CI/CD pipeline implementation.
- Strong analytical, debugging, and architectural skills, with experience working in agile, cross-functional, and distributed teams.
Tech Stack
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